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  1. 2301

    Developing genetic algorithm-based neural networks and sensitivity analysis for thermal conductivity of natural gases by R. Beigzadeh, R. Ozairy

    Published 2020-06-01
    “…Simple correlations were obtained due to the small number of optimal neurons in the ANN structures. The mean relative errors of 0.206% and 0.199% for the testing dataset indicate the high accuracy and validation of the correlations. …”
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    Article
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    Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

    Published 2020-01-01
    “…The traditional methods which are used to diagnose a disease are manual and error-prone. Usage of Artificial Intelligence (AI) predictive techniques enables auto diagnosis and reduces detection errors compared to exclusive human expertise. …”
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    Article
  5. 2305
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    A systematic review and meta-analysis on pharmacist-led interventions for the management of peptic ulcer disease. by Biswash Sapkota, Bipindra Pandey, Bishal Sapkota, Keshav Dhakal, Bijay Aryal

    Published 2025-01-01
    “…Their interventions help prevent medication errors and adverse drug events and enhance medication safety. …”
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    Article
  7. 2307

    Simulation and Analysis of Double Compound CAM Pusher Tool Changing Mechanism for NC Machine Tool by Xinbo Zhang, Xiaobing Zhang, Xigui Wang, Zhongping Lai, Wenxue Zhu, Yujie Zhang

    Published 2024-12-01
    “…This setup has two main drawbacks: amplified vibration errors and high impact forces due to the swinging rod. …”
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    Article
  8. 2308

    Comparative analysis of machine learning algorithms for predicting tibial intramedullary nail length from patient characteristics by Yujian Hui, Hengda Hu, Jinghua Xiang, Xingye Du

    Published 2025-08-01
    “…Models were trained and evaluated using root mean squared error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and correlation analysis. …”
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  9. 2309

    The Relationship between Lean Practices and Organizational Performance: An Analysis of Operations Management in a Public Institution by Patricia Inês Schwantz, Leander Luiz Klein, Eugênio de Oliveira Simonetto

    Published 2023-08-01
    “…A valid sample of 116 answered questionnaires was obtained. Data analysis was carried out through multivariate statistical treatment, known as Structural Equation Modeling (SEM), using the Smart-PLS software. …”
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  10. 2310

    Establishment of Typical Operating Conditions for Train Traction System Based on Short Trip Analysis Method by LU Xiulong, GUO Yidan, CHENG Hao, DENG Ming, ZOU Xiaoyang

    Published 2024-06-01
    “…Furthermore, the proposed method was verified by analyzing errors in operating characteristic parameters and assessing the similarities in velocity-force (<italic>V-F</italic>) distribution probability two-dimensional matrix. …”
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  11. 2311

    Sustainability index analysis of organic fertilizer production from paunch manure and rice straw waste by A.D. Santoso, F.D. Arianti, E.S. Rohaeni, B. Haryanto, M.D. Pertiwi, L.P. Panggabean, A. Prabowo, S. Sundari, S.P. Wijayanti, I.N. Djarot, F.D. Kurniawati, F.L. Sahwan, T. Prasetyo, A. Barkah, T.A. Adibroto, R. Ridlo, I. Febijanto, A.A. Wasil, S. Lusiana, R. Rosmeika, R.B. Heryanto

    Published 2023-11-01
    “…The data collected was analyzed using the Multidimensional Scaling method, Rapfish software, and Monte Carlo analysis to ascertain the level of sustainability status and leverage attributes, and examine scoring errors and variations.RESULTS: Sustainability index for organic fertilizer production was 74.55 percent. …”
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  12. 2312

    Automated Analysis of X-Ray Images of the Temporomandibular Joint in Patients with Orthognathic Bite and Physiological Occlusion by M. A. Postnikov, O. V. Slesarev, D. A. Trunin, D. A. Andriyanov, S. N. Ispanova

    Published 2019-03-01
    “…A descriptive statistics checking revealed no gross errors.Conclusion. It is expedient to take into account the findings as reference values to characterize the anatomical and functional state of the TMJ on the x-ray image.…”
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  13. 2313

    A comparative study of trends in human bite mark analysis methods: A systematic review by Reem M. AlReshaid, Mayasem F. Bukhadher, Azhar A. Alabdullah, Rameswari Poornima Janardanan, Hezekiah A. Masadomi

    Published 2019-01-01
    “…Objective: This review is undertaken to analyze in depth the trends emerging in the approaches used in the identification, analysis and matching of human bite marks. This review helps to identify errors contributing to lack of high precision in results and hence the need for further research in the field. …”
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  14. 2314

    Modeling and analysis of vehicle path dispersion at signalized intersections using explainable backpropagation neural networks by Jing Zhao, Ruoming Ma, Jian Sun, Rongji Zhang, Cheng Zhang

    Published 2025-07-01
    “…The results show that the mean absolute percentage errors of the path dispersion models for the through and left-turn movements are only 14.67% and 17.65%, respectively. …”
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    Differential Positioning with Bluetooth Low Energy (BLE) Beacons for UAS Indoor Operations: Analysis and Results by Salvatore Ponte, Gennaro Ariante, Alberto Greco, Giuseppe Del Core

    Published 2024-11-01
    “…Position estimation was achieved by trilateration, and the extended Kalman filter (EKF) was applied, considering the nonlinear propriety of beacon signals to correct data from noise, drift, and bias errors. Experimental results and system performance analysis show the feasibility of this methodology, as well as the reduction of position uncertainty obtained by the DCC technique.…”
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  17. 2317

    A Meta-Analysis on the Impact of Induction Chemotherapy on Survival Outcomes for Sinonasal Squamous Cell Carcinoma by Ruth S. Goh, Christopher Goh Hood Keng

    Published 2025-03-01
    “…As this was a time-to-event analysis, hazard ratios (HRs) and standard errors were derived from individual studies and pooled together for analysis. …”
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    Part of speech weighted multi-modal emotion analysis model with dynamic adjustment of semantic representation by HUA Qiang, CHEN Zhuo, ZHANG Feng, DONG Chunru

    Published 2024-05-01
    “…Comparative experimental results with the current advanced models such as tensor fusion network and low-rank multimodal fusion show that the average absolute errors of PW-DS model on public data sets CMU-MOSI and CMU-MOSEI are 0.607 and 0.510, respectively, and the binary classification accuracies are 89.02% and 86.93%, respectively, which is better than the models in the comparative experiments. …”
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